Clustering of human sperm swimming patterns in time-lapse images

Ji Won Choi, Leonardo Urbano, Puneet Masson, Matthew Vermilyea, Moshe Kam

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

In observations of sperm movements in 2-dimensional time-lapse images, the presence or absence of episodic rolling of the sperm cells creates different types of progressive swimming patterns. Development of automatic tracking of sperm trajectories in time-lapse images provides an opportunity to investigate these patterns. In this study, we cluster sperm cells by swimming types, using motility parameters calculated from sperm swimming tracks obtained by the joint probability density association filter (JPDAF). We apply k-means clustering and artificial bee colony (ABC) algorithm search on synthetic and real sperm swim data to identify the different swimming types. The result is clusters with interpretable distinctive features, demonstrating the potential to provide a clustering tool for automated sperm subpopulation analysis.

Original languageEnglish (US)
Title of host publicationProceedings - 2018 IEEE International Conference on Healthcare Informatics, ICHI 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages371-373
Number of pages3
ISBN (Electronic)9781538653777
DOIs
StatePublished - Jul 24 2018
Event6th IEEE International Conference on Healthcare Informatics, ICHI 2018 - New York, United States
Duration: Jun 4 2018Jun 7 2018

Publication series

NameProceedings - 2018 IEEE International Conference on Healthcare Informatics, ICHI 2018

Other

Other6th IEEE International Conference on Healthcare Informatics, ICHI 2018
CountryUnited States
CityNew York
Period6/4/186/7/18

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Networks and Communications
  • Health Informatics

Keywords

  • Artificial bee colony algorithm
  • Clustering
  • Particle tracking
  • Sperm imaging
  • Sperm motility

Fingerprint Dive into the research topics of 'Clustering of human sperm swimming patterns in time-lapse images'. Together they form a unique fingerprint.

Cite this